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Experience replay

2 open-access preprints on experience replay, published in 2026 in Life of Research. Every record is free to read and download, with a permanent link and a ready-made citation.

2 records

Preprint

A Residual Is Not a Third Factor: What the Gap Between a Perfect-Retention Ensemble and Joint Training Measures in Continual Learning, Why Chunk Size, Repetition and the Combiner Move It, and the Controls That Would Make Co-observation a Mechanism

Life of Research Continual learning is scored against two reference points: naive sequential training below and joint training on all the data above. The usual reading is that the distance between them is made of forgetting and lost plasticity, so a learner that solved both would reach the upper…

Cite Related research LOR-00186 · 1 view · 0 downloads
PDF401.3 KB

Preprint

Which Fine-Tuning Failed? The Reported Failure and Recovery of Fine-Tuning in Model Editing Are Findings About the Edit Protocol, Why the Breadth-First Recovery Changes What the Editor May Remember, and the Matched Comparisons That Would Assign the Credit

Life of Research Fine-tuning has been treated as the weak baseline of model editing since the field's first benchmarks. A 2025 study argues that the weakness was an artefact of implementation: when edits are optimised in epochs over mini-batches instead of one at a time to convergence, and when a…

Cite Related research LOR-00141 · 10 views · 12 downloads
PDF373.9 KB

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